Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2009-02-04 09:06:18	ga_ls7e_ard_3-0-0_089090_2009-02-03_final
2009-02-11 09:12:09	ga_ls7e_ard_3-0-0_090089_2009-02-10_final
2009-02-11 09:12:33	ga_ls7e_ard_3-0-0_090090_2009-02-10_final
2009-03-24 09:06:19	ga_ls7e_ard_3-0-0_089089_2009-03-23_final
2009-03-24 09:06:43	ga_ls7e_ard_3-0-0_089090_2009-03-23_final
2009-04-14 09:24:59	ga_ls7e_ard_3-0-0_092089_2009-04-13_final
2009-04-16 09:12:38	ga_ls7e_ard_3-0-0_090089_2009-04-15_final
2009-04-16 09:13:02	ga_ls7e_ard_3-0-0_090090_2009-04-15_final
2009-04-23 09:19:15	ga_ls7e_ard_3-0-0_091090_2009-04-22_final
2009-04-30 09:25:03	ga_ls7e_ard_3-0-0_092089_2009-04-29_final
2009-05-02 09:12:42	ga_ls7e_ard_3-0-0_090089_2009-05-01_final
2009-05-11 09:06:56	ga_ls7e_ard_3-0-0_089090_2009-05-10_final
2009-05-16 09:25:05	ga_ls7e_ard_3-0-0_092089_2009-05-15_final
2009-06-28 09:06:30	ga_ls7e_ard_3-0-0_089089_2009-06-27_final
2009-06-28 09:06:54	ga_ls7e_ard_3-0-0_089090_2009-06-27_final
2009-07-21 09:12:59	ga_ls7e_ard_3-0-0_090090_2009-07-20_final
2009-08-13 09:18:38	ga_ls7e_ard_3-0-0_091089_2009-08-12_final
2009-08-13 09:19:02	ga_ls7e_ard_3-0-0_091090_2009-08-12_final
2013-01-19 09:30:49	ga_ls7e_ard_3-0-0_092089_2013-01-19_final
2013-03-01 09:24:36	ga_ls7e_ard_3-0-0_091089_2013-02-28_final
2013-03-01 09:25:00	ga_ls7e_ard_3-0-0_091090_2013-02-28_final
2013-03-03 09:12:15	ga_ls7e_ard_3-1-0_089089_2013-03-02_final
2013-03-03 09:12:39	ga_ls7e_ard_3-0-0_089090_2013-03-02_final
2013-03-10 09:18:26	ga_ls7e_ard_3-0-0_090089_2013-03-09_final
2013-04-02 09:24:31	ga_ls7e_ard_3-0-0_091089_2013-04-01_final
2013-04-02 09:24:55	ga_ls7e_ard_3-0-0_091090_2013-04-01_final
2013-04-04 09:12:09	ga_ls7e_ard_3-0-0_089089_2013-04-03_final
2013-04-04 09:12:33	ga_ls7e_ard_3-0-0_089090_2013-04-03_final
2013-04-18 09:24:50	ga_ls7e_ard_3-0-0_091090_2013-04-17_final
2013-04-27 09:18:12	ga_ls7e_ard_3-0-0_090089_2013-04-26_final
2013-04-27 09:18:36	ga_ls7e_ard_3-0-0_090090_2013-04-26_final
2013-05-20 09:24:20	ga_ls7e_ard_3-0-0_091089_2013-05-19_final
2013-05-20 09:24:44	ga_ls7e_ard_3-0-0_091090_2013-05-19_final
2014-03-29 09:19:14	ga_ls7e_ard_3-0-0_090089_2014-03-28_final
2014-04-05 09:25:27	ga_ls7e_ard_3-0-0_091089_2014-04-04_final
2014-04-07 09:13:05	ga_ls7e_ard_3-1-0_089089_2014-04-06_final
2014-04-07 09:13:29	ga_ls7e_ard_3-0-0_089090_2014-04-06_final
2014-04-14 09:19:21	ga_ls7e_ard_3-0-0_090089_2014-04-13_final
2014-04-14 09:19:45	ga_ls7e_ard_3-0-0_090090_2014-04-13_final
2014-04-21 09:25:38	ga_ls7e_ard_3-0-0_091089_2014-04-20_final
2014-04-21 09:26:02	ga_ls7e_ard_3-0-0_091090_2014-04-20_final
2014-04-23 09:13:41	ga_ls7e_ard_3-0-0_089090_2014-04-22_final
2014-04-28 09:31:51	ga_ls7e_ard_3-0-0_092089_2014-04-28_final
2014-04-28 09:32:15	ga_ls7e_ard_3-1-0_092090_2014-04-28_final
2014-04-30 09:19:54	ga_ls7e_ard_3-0-0_090090_2014-04-29_final
2014-05-16 09:20:01	ga_ls7e_ard_3-0-0_090090_2014-05-15_final
2014-05-25 09:13:28	ga_ls7e_ard_3-1-0_089089_2014-05-24_final
2014-05-25 09:13:52	ga_ls7e_ard_3-0-0_089090_2014-05-24_final
2014-05-30 09:32:02	ga_ls7e_ard_3-0-0_092089_2014-05-30_final
2014-05-30 09:32:26	ga_ls7e_ard_3-1-0_092090_2014-05-30_final
2014-06-01 09:20:04	ga_ls7e_ard_3-0-0_090090_2014-05-31_final
2014-06-08 09:25:52	ga_ls7e_ard_3-0-0_091089_2014-06-07_final
2014-06-08 09:26:16	ga_ls7e_ard_3-0-0_091090_2014-06-07_final
2014-06-15 09:32:03	ga_ls7e_ard_3-0-0_092089_2014-06-15_final
2014-06-17 09:19:41	ga_ls7e_ard_3-0-0_090089_2014-06-16_final
2014-06-17 09:20:05	ga_ls7e_ard_3-0-0_090090_2014-06-16_final
2014-06-24 09:26:19	ga_ls7e_ard_3-0-0_091090_2014-06-23_final
2014-07-03 09:19:48	ga_ls7e_ard_3-0-0_090089_2014-07-02_final
2014-07-03 09:20:12	ga_ls7e_ard_3-0-0_090090_2014-07-02_final
2014-07-10 09:26:24	ga_ls7e_ard_3-0-0_091090_2014-07-09_final
2014-07-17 09:32:10	ga_ls7e_ard_3-0-0_092089_2014-07-17_final
2014-07-19 09:19:50	ga_ls7e_ard_3-0-0_090089_2014-07-18_final
2014-07-19 09:20:14	ga_ls7e_ard_3-0-0_090090_2014-07-18_final
2014-07-28 09:14:07	ga_ls7e_ard_3-0-0_089090_2014-07-27_final
2014-08-11 09:26:31	ga_ls7e_ard_3-0-0_091090_2014-08-10_final
2014-08-13 09:13:46	ga_ls7e_ard_3-1-0_089089_2014-08-12_final
2014-08-13 09:14:10	ga_ls7e_ard_3-0-0_089090_2014-08-12_final
2014-08-18 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-08-18_final
2014-08-20 09:19:55	ga_ls7e_ard_3-0-0_090089_2014-08-19_final
2014-08-20 09:20:19	ga_ls7e_ard_3-0-0_090090_2014-08-19_final
2014-08-29 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-08-28_final
2014-08-29 09:14:07	ga_ls7e_ard_3-0-0_089090_2014-08-28_final
2014-09-03 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-09-03_final
2014-09-05 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-09-04_final
2014-09-05 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-09-04_final
2014-09-12 09:26:05	ga_ls7e_ard_3-0-0_091089_2014-09-11_final
2014-09-14 09:13:45	ga_ls7e_ard_3-0-0_089089_2014-09-13_final
2014-09-14 09:14:09	ga_ls7e_ard_3-0-0_089090_2014-09-13_final
2014-09-19 09:32:21	ga_ls7e_ard_3-0-0_092089_2014-09-19_final
2014-09-21 09:20:01	ga_ls7e_ard_3-0-0_090089_2014-09-20_final
2014-09-21 09:20:25	ga_ls7e_ard_3-0-0_090090_2014-09-20_final
2014-09-30 09:14:21	ga_ls7e_ard_3-0-0_089090_2014-09-29_final
2014-10-05 09:32:33	ga_ls7e_ard_3-0-0_092089_2014-10-05_final
2014-10-07 09:20:13	ga_ls7e_ard_3-0-0_090089_2014-10-06_final
2014-10-07 09:20:37	ga_ls7e_ard_3-0-0_090090_2014-10-06_final
2014-10-14 09:26:50	ga_ls7e_ard_3-0-0_091090_2014-10-13_final
2014-10-21 09:32:42	ga_ls7e_ard_3-0-0_092089_2014-10-21_final
2014-10-23 09:20:22	ga_ls7e_ard_3-0-0_090089_2014-10-22_final
2014-10-23 09:20:46	ga_ls7e_ard_3-0-0_090090_2014-10-22_final
2014-10-30 09:26:36	ga_ls7e_ard_3-0-0_091089_2014-10-29_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years